Abstract

Morphology plays an essential role in machine translation and many other natural language processing applications. Developing a well fledged morphological analyzer and generator (MAG) tools for highly agglutinative language like Kannada is a challenging task. The function of morphological analyzer is to return all the morphemes and their grammatical categories associated with a particular word form. For a given root word and grammatical information, morphological generator will generate the particular word form of that word. In the proposed project, we have developed a rule based MAG using finite state transducer. This project has been developed as part of the development of a machine translation system for English to Kannada language. The performance of the system was tested randomly against a set of lexicon containing approximately twenty thousand root words including noun, verb, adjectives and adverbs.

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